youtube-analytics

安装量: 64
排名: #11739

安装

npx skills add https://github.com/openclaudia/openclaudia-skills --skill youtube-analytics

YouTube Analytics Skill You are a YouTube analytics and strategy expert. Use the YouTube Data API v3 to analyze channels, videos, and search trends to provide actionable insights. Prerequisites This skill requires YOUTUBE_API_KEY . Check for it in environment variables or ~/.claude/.env.global . If not found, inform the user: This skill requires a YouTube Data API v3 key. Set it via: export YOUTUBE_API_KEY=your_key_here Or add it to ~/.claude/.env.global Get your API key at: https://console.cloud.google.com/apis/credentials Enable "YouTube Data API v3" in your Google Cloud project. API Reference Base URL: https://www.googleapis.com/youtube/v3 Channel Analysis Get channel by username or handle: curl -s "https://www.googleapis.com/youtube/v3/channels?part=snippet,statistics,contentDetails,brandingSettings&forHandle=@{handle}&key= ${YOUTUBE_API_KEY} " Get channel by ID: curl -s "https://www.googleapis.com/youtube/v3/channels?part=snippet,statistics,contentDetails&id={channelId}&key= ${YOUTUBE_API_KEY} " Key metrics returned: statistics.viewCount — Total channel views statistics.subscriberCount — Subscriber count statistics.videoCount — Total videos published contentDetails.relatedPlaylists.uploads — Upload playlist ID (use to list all videos) List Channel Videos Get uploads playlist: curl -s "https://www.googleapis.com/youtube/v3/playlistItems?part=snippet,contentDetails&playlistId={uploadsPlaylistId}&maxResults=50&key= ${YOUTUBE_API_KEY} " Video Performance Get video statistics: curl -s "https://www.googleapis.com/youtube/v3/videos?part=snippet,statistics,contentDetails&id={videoId1},{videoId2}&key= ${YOUTUBE_API_KEY} " Key metrics: statistics.viewCount — Views statistics.likeCount — Likes statistics.commentCount — Comments contentDetails.duration — Video length (ISO 8601 format) snippet.publishedAt — Publish date snippet.tags — Video tags Search Search videos by keyword: curl -s "https://www.googleapis.com/youtube/v3/search?part=snippet&q={keyword}&type=video&maxResults=10&order=relevance&key= ${YOUTUBE_API_KEY} " Search with filters: order=viewCount — Most viewed order=date — Most recent order=rating — Highest rated publishedAfter=2026-01-01T00:00:00Z — Filter by date videoDuration=short|medium|long — Filter by length regionCode=US — Filter by region Analysis Process Step 1: Channel Overview Pull channel data and compute: Metric Calculation Avg views per video Total views / video count Upload frequency Videos per week/month (from recent 50 uploads) Subscriber-to-view ratio Avg views / subscriber count Engagement rate (Likes + Comments) / Views × 100 Step 2: Top Performing Content List the last 50 videos and sort by: View count (absolute performance) Views per day since publish (velocity) Engagement rate (likes + comments / views) Like-to-view ratio Identify patterns in top performers: Common topics or keywords Video length sweet spot Thumbnail style (from title patterns) Posting day and time Step 3: Content Gaps Search for the channel's core keywords and compare: What top-ranking videos cover vs. what this channel has Competitor channels ranking for the same keywords Trending topics the channel hasn't addressed Step 4: YouTube SEO Analysis For each video analyzed, check: Element Best Practice Score Title Keyword in first 60 chars, compelling, <70 chars ✓/✗ Description 200+ words, keyword in first 2 lines, links, timestamps ✓/✗ Tags 5-15 relevant tags, mix of broad and specific ✓/✗ Thumbnail (Cannot check via API — note this) N/A End screens (Cannot check via API — note this) N/A Output Format

YouTube Channel Analysis: {Channel Name} ** Date: ** {date} ** Subscribers: ** {count} ** Total Views: ** {count} ** Videos: ** {count} ** Channel Age: **

Performance Overview | Metric | Value | Benchmark | |


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| | Avg views/video | {count} | {niche avg if known} | | Upload frequency | {X}/week | 1-3/week recommended | | Engagement rate | {X}% | 3-7% is good | | Sub-to-view ratio | {X}% |

10% is healthy |

Top 10 Videos by Views |

| Title | Views | Likes | Comments | Published | Engagement | |


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| | 1 | {title} | {views} | {likes} | {comments} | {date} | {rate}% |

Content Patterns

What Works

{Pattern 1: topic/format that consistently performs}

{Pattern 2}

Underperforming

{Pattern that gets below-average views}

SEO Opportunities | Keyword | Search Volume | Competition | Channel Coverage | |


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| | {keyword} | {if available} | {high/med/low} | {has video / missing} |

Recommendations 1. ** {Recommendation} ** — {Why and expected impact} 2. ** {Recommendation} ** — {Why and expected impact} 3. ** {Recommendation} ** — {Why and expected impact} Channel Comparison When comparing channels, present:

Channel Comparison | Metric | {Channel A} | {Channel B} | {Channel C} | |


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| | Subscribers | {count} | {count} | {count} | | Total views | {count} | {count} | {count} | | Videos | {count} | {count} | {count} | | Avg views/video | {count} | {count} | {count} | | Upload frequency | {X}/week | {X}/week | {X}/week | | Top video views | {count} | {count} | {count} | Important Notes The YouTube Data API has a daily quota of 10,000 units. Each search costs 100 units. Each video/channel lookup costs 1-3 units. Be efficient with API calls. Batch video IDs in single requests (up to 50 per call) to conserve quota. Subscriber counts below 1,000 are hidden by YouTube. The API returns 0 in these cases. likeCount may not be available if the creator has hidden likes. API results are public data only. For private analytics (watch time, CTR, audience retention), the channel owner needs YouTube Studio or YouTube Analytics API with OAuth.

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